TY - JOUR
AB - AbstractIncreasing system complexity can be controlled by using systems engineering processes. INCOSE defines processes with inputs and outputs (artifacts) for this purpose. Specific SE roles are used to organize the tasks of the processes within the company. In this work, the responsibilities for artifacts are evaluated by means of the RACI scheme and examined by a cluster analysis and discussed for a SE transformation project with a German automotive OEM. As a result of the study, the optimal composition for systems engineering teams is identified and the systems engineering roles are prioritized.
AU - Gräßler, Iris
AU - Thiele, Henrik
AU - Grewe, Benedikt
AU - Hieb, Michael
ID - 32174
JF - Proceedings of the Design Society
KW - systems engineering (SE)
KW - project management
KW - model-based systems engineering (MBSE)
SN - 2732-527X
TI - Responsibility Assignment in Systems Engineering
VL - 2
ER -
TY - CONF
AB - Challenges in decisions on technical changes are the lack of knowledge about the expected impact and change propagation. Currently, no literature study contains a systematic differentiation and evaluation of existing approaches, which is a prerequisite for practitioners to select a suitable approach. This research aims at defining differentiation criteria as well as generally applicable requirements for evaluation. A four-step approach is used: systematic literature review on approaches for impact analysis of engineering changes (1), categorization and prioritization of approaches based on reoccuring elements (2), derivation of context specific requirements for evaluation (3), and evaluation of approaches (4). The result indicates existing potential of object-oriented modeling approaches.
AU - Gräßler, Iris
AU - Wiechel, Dominik
ED - Krause, Dieter
ED - Paetzold, Kristin
ED - Wartzack, Sandro
ID - 24280
KW - Engineering Change Management
KW - Impact Analysis
KW - Engineering Changes
KW - Model-based Systems Engineering
KW - Product Developmen
T2 - DS 111: Proceedings of the 32nd Symposium Design for X
TI - Systematische Bewertung von Auswirkungsanalysen des Engineering Change Managements
ER -